Pub Date : 2020-08-30DOI: 10.21608/mjeer.2020.26316.1012
Shouman Marwa, Saber Amany, S. Mohammed, El-Sayed Ayman, Torkey Hanaa
Reliability assessment of a digital dynamic system using traditional Fault Tree Analysis (FTA) is difficult. This paper addresses the dynamic modeling of safety-critical complex systems such as the digital Reactor Protection System (RPS) in Nuclear Power Plants (NPPs). The digital RPS is a safety system utilized in the NPPs for safe operation and shutdown of the reactor in emergency events. A quantitative evaluation reliability analysis for the digital RPS with 2-out-of4 architecture using the state transition diagram is presented in this paper. The study assesses the effects of independent hardware failures, Common Cause Failures (CCFs), and software failures on the failure of the RPS through calculating Probability of Failure on Demand (PFD). The results prove the validity of the proposed method in analyzing and evaluating reliability of the digital RPS and also show that the CCFs and longer detection time are the main contributions to the PFD of digital RPS. Keywords—Nuclear Power Plant, Reactor Protection System, State Transition Diagram
{"title":"Dynamic Modeling of Reactor Protection System in Nuclear Power Plant for Reliability Evaluation Based on State Transition Diagram","authors":"Shouman Marwa, Saber Amany, S. Mohammed, El-Sayed Ayman, Torkey Hanaa","doi":"10.21608/mjeer.2020.26316.1012","DOIUrl":"https://doi.org/10.21608/mjeer.2020.26316.1012","url":null,"abstract":"Reliability assessment of a digital dynamic system using traditional Fault Tree Analysis (FTA) is difficult. This paper addresses the dynamic modeling of safety-critical complex systems such as the digital Reactor Protection System (RPS) in Nuclear Power Plants (NPPs). The digital RPS is a safety system utilized in the NPPs for safe operation and shutdown of the reactor in emergency events. A quantitative evaluation reliability analysis for the digital RPS with 2-out-of4 architecture using the state transition diagram is presented in this paper. The study assesses the effects of independent hardware failures, Common Cause Failures (CCFs), and software failures on the failure of the RPS through calculating Probability of Failure on Demand (PFD). The results prove the validity of the proposed method in analyzing and evaluating reliability of the digital RPS and also show that the CCFs and longer detection time are the main contributions to the PFD of digital RPS. Keywords—Nuclear Power Plant, Reactor Protection System, State Transition Diagram","PeriodicalId":218019,"journal":{"name":"Menoufia Journal of Electronic Engineering Research","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128651428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-06DOI: 10.21608/mjeer.2020.101047
Fkirin, M. A., Y. S., E. F.
Digital filters are used for identification, prediction, and modeling of hidden objects in dynamic systems. These filters are Gaussian filter with power spectrum depth estimation, edge detection of the hidden objects as well as constructed 2-D geomagnetic modeling of hidden objects. In this paper, digital filter results are obtained by MATLAB software. Magnetometer instrument is used to collect aeromagnetic data of dynamic systems. Aeromagnetic data are collected from Aswan area in Egypt. MATLAB codes are built to insert data and process this data in user graphic interface (UGI). The estimated depth level of hidden objects in dynamic system is selected via the power spectrum which used to transform processed data in time domain to frequency domain. Then, figure out the hidden objects in shallow and deeper levels. Edge boundary is implemented to obtain hidden objects dynamic system either shallow and deep levels. Edges and clearness hidden objects dynamic systems take out by smoothing total horizontal derivative (THDR) and enhanced total horizontal derivative (ETHDR) filter. The estimation depth of hidden objects and their extension are calculated from the 2-D modeling filter. Also, the 2-D model shown the difference hidden objects dynamic systems types through there magnetic susceptibility. Keywords—Identification, Modeling, Hidden Objects, Aeromagnetic Data, Digital Filters.
{"title":"Modeling and Identification of Hidden Objects in Dynamic Systems using Digital Filters.","authors":"Fkirin, M. A., Y. S., E. F.","doi":"10.21608/mjeer.2020.101047","DOIUrl":"https://doi.org/10.21608/mjeer.2020.101047","url":null,"abstract":"Digital filters are used for identification, prediction, and modeling of hidden objects in dynamic systems. These filters are Gaussian filter with power spectrum depth estimation, edge detection of the hidden objects as well as constructed 2-D geomagnetic modeling of hidden objects. In this paper, digital filter results are obtained by MATLAB software. Magnetometer instrument is used to collect aeromagnetic data of dynamic systems. Aeromagnetic data are collected from Aswan area in Egypt. MATLAB codes are built to insert data and process this data in user graphic interface (UGI). The estimated depth level of hidden objects in dynamic system is selected via the power spectrum which used to transform processed data in time domain to frequency domain. Then, figure out the hidden objects in shallow and deeper levels. Edge boundary is implemented to obtain hidden objects dynamic system either shallow and deep levels. Edges and clearness hidden objects dynamic systems take out by smoothing total horizontal derivative (THDR) and enhanced total horizontal derivative (ETHDR) filter. The estimation depth of hidden objects and their extension are calculated from the 2-D modeling filter. Also, the 2-D model shown the difference hidden objects dynamic systems types through there magnetic susceptibility. Keywords—Identification, Modeling, Hidden Objects, Aeromagnetic Data, Digital Filters.","PeriodicalId":218019,"journal":{"name":"Menoufia Journal of Electronic Engineering Research","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130675420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-06DOI: 10.21608/mjeer.2020.32404.1021
M. El-Rashidy
Web-phishing attacks are one of the most serious cybercrime. It enables hackers to access the devices of many users and spy on their personal data such as passwords and credit card details. Hackers use a lot of tricks through the internet, which make users to share data, download files or open links that attack a computer. This research proposes meta-heuristic based approach to protect the internet users from the web-phishing. It consists of three phases, the first phase uses a new proposed method for evaluating and ranking the features of URL, HTML and JavaScript code, text, images and domain name of the web page. The second phase extracts the effective subset of the ranked features that achieves the highest classification accuracy of the web-phishing. The third phase constructs the Random forest classifier training by data features of the extracted subset. The new proposed method of the feature selection achieved the highest classification accuracy compared to the correlation feature selection, information gain, principle component analysis, and Relief feature selection algorithms. The proposed methodology of the web-phishing detection was also evaluated, it obtained the highest classification accuracy at the least possible time compared to the adaptive Neuro-fuzzy inference system.
{"title":"A Smart Model for Web Phishing Detection Based on New Proposed Feature Selection Technique","authors":"M. El-Rashidy","doi":"10.21608/mjeer.2020.32404.1021","DOIUrl":"https://doi.org/10.21608/mjeer.2020.32404.1021","url":null,"abstract":"Web-phishing attacks are one of the most serious cybercrime. It enables hackers to access the devices of many users and spy on their personal data such as passwords and credit card details. Hackers use a lot of tricks through the internet, which make users to share data, download files or open links that attack a computer. This research proposes meta-heuristic based approach to protect the internet users from the web-phishing. It consists of three phases, the first phase uses a new proposed method for evaluating and ranking the features of URL, HTML and JavaScript code, text, images and domain name of the web page. The second phase extracts the effective subset of the ranked features that achieves the highest classification accuracy of the web-phishing. The third phase constructs the Random forest classifier training by data features of the extracted subset. The new proposed method of the feature selection achieved the highest classification accuracy compared to the correlation feature selection, information gain, principle component analysis, and Relief feature selection algorithms. The proposed methodology of the web-phishing detection was also evaluated, it obtained the highest classification accuracy at the least possible time compared to the adaptive Neuro-fuzzy inference system.","PeriodicalId":218019,"journal":{"name":"Menoufia Journal of Electronic Engineering Research","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127942398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-06DOI: 10.21608/mjeer.2020.22756.1003
Fady Taher, A. Elmahalawy, A. Shouman, A. El-Sayed
Traffic congestions is a crucial problem affectingcities around the globe and they are only getting worse as thenumber of vehicles tends to increase significantly. Traffic signalcontrollers are considered as the most important mechanism tocontrol traffic, specifically at intersections, the field of MachineLearning introduces advanced techniques which can be appliedto provide more flexibility and adaptiveness to traffic controltechniques. Efficient traffic controllers can be designed using areinforcement learning (RL) approach but major problems offollowing RL approach are, exponential growth in the state andaction spaces and the need for coordination. We use real trafficdata of 65 intersection of the city of Ottawa to build oursimulations and show that, clustering the network usinghierarchal techniques has a great potential in reducing the stateactionpair significantly and enhance overall trafficperformance.
{"title":"Applying Hierarchal Clusters on Deep Reinforcement Learning Controlled Traffic Network","authors":"Fady Taher, A. Elmahalawy, A. Shouman, A. El-Sayed","doi":"10.21608/mjeer.2020.22756.1003","DOIUrl":"https://doi.org/10.21608/mjeer.2020.22756.1003","url":null,"abstract":"Traffic congestions is a crucial problem affectingcities around the globe and they are only getting worse as thenumber of vehicles tends to increase significantly. Traffic signalcontrollers are considered as the most important mechanism tocontrol traffic, specifically at intersections, the field of MachineLearning introduces advanced techniques which can be appliedto provide more flexibility and adaptiveness to traffic controltechniques. Efficient traffic controllers can be designed using areinforcement learning (RL) approach but major problems offollowing RL approach are, exponential growth in the state andaction spaces and the need for coordination. We use real trafficdata of 65 intersection of the city of Ottawa to build oursimulations and show that, clustering the network usinghierarchal techniques has a great potential in reducing the stateactionpair significantly and enhance overall trafficperformance.","PeriodicalId":218019,"journal":{"name":"Menoufia Journal of Electronic Engineering Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130014741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-06DOI: 10.21608/MJEER.2021.146294
M. Fkirin, M. S. Youssef, M. F. El-Deery
Digital filters are used for identification, prediction, and modeling of hidden objects in dynamic systems. These filters are Gaussian filter with power spectrum depth estimation, edge detection of the hidden objects as well as constructed 2-D geomagnetic modeling of hidden objects. In this paper, digital filter results are obtained by MATLAB software. Magnetometer instrument is used to collect aeromagnetic data of dynamic systems. Aeromagnetic data are collected from Aswan area in Egypt. MATLAB codes are built to insert data and process this data in user graphic interface (UGI). The estimated depth level of hidden objects in dynamic system is selected via the power spectrum which used to transform processed data in time domain to frequency domain. Then, figure out the hidden objects in shallow and deeper levels. Edge boundary is implemented to obtain hidden objects dynamic system either shallow and deep levels. Edges and clearness hidden objects dynamic systems take out by smoothing total horizontal derivative (THDR) and enhanced total horizontal derivative (ETHDR) filter. The estimation depth of hidden objects and their extension are calculated from the 2-D modeling filter. Also, the 2-D model shown the difference hidden objects dynamic systems types through there magnetic susceptibility.
{"title":"Modeling and Identification of Hidden Objects in Dynamic Systems using Digital Filters.","authors":"M. Fkirin, M. S. Youssef, M. F. El-Deery","doi":"10.21608/MJEER.2021.146294","DOIUrl":"https://doi.org/10.21608/MJEER.2021.146294","url":null,"abstract":"Digital filters are used for identification, prediction, and modeling of hidden objects in dynamic systems. These filters are Gaussian filter with power spectrum depth estimation, edge detection of the hidden objects as well as constructed 2-D geomagnetic modeling of hidden objects. In this paper, digital filter results are obtained by MATLAB software. Magnetometer instrument is used to collect aeromagnetic data of dynamic systems. Aeromagnetic data are collected from Aswan area in Egypt. MATLAB codes are built to insert data and process this data in user graphic interface (UGI). The estimated depth level of hidden objects in dynamic system is selected via the power spectrum which used to transform processed data in time domain to frequency domain. Then, figure out the hidden objects in shallow and deeper levels. Edge boundary is implemented to obtain hidden objects dynamic system either shallow and deep levels. Edges and clearness hidden objects dynamic systems take out by smoothing total horizontal derivative (THDR) and enhanced total horizontal derivative (ETHDR) filter. The estimation depth of hidden objects and their extension are calculated from the 2-D modeling filter. Also, the 2-D model shown the difference hidden objects dynamic systems types through there magnetic susceptibility.","PeriodicalId":218019,"journal":{"name":"Menoufia Journal of Electronic Engineering Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128495081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-06DOI: 10.21608/mjeer.2020.21471.1001
A. A. Mahmoud, W. El-shafai, T. Taha, El-Sayed M. El-Rabaie, O. Zahran, A. El-Fishawy, F. El-Samie
In this paper a study on the segmentation of the medical image is carried out. Image segmentation is the process of splitting an image into a number of non-overlapped segments (sets of pixels, also known as image objects). The success of image analysis process depends on accuracy of segmentation process, but a successful segmentation of an image is generally a difficult problem. During an image preprocessing operation, the input given is an image and its output is an enhanced high-quality image as per the techniques used. This paper provides a solid introduction to image enhancement along with image segmentation technique fundamentals. Firstly, the local spatial information of the image is combined with fuzzy c-mean by introducing morphological reconstruction operation to ensure noise-immunity and image detail-protection. The objective of using morphological operations is to remove the defects in the texture of the image. Secondly, the modification of membership partition depends only on the spatial neighbors of membership partition instead of the distance between pixels within local spatial neighbors and cluster centers. The proposed algorithm is very simple to implement and significantly fast, since it is not necessary to compute the distance between the neighboring pixels and the cluster centers. It is also efficient when dealing with noisy image because of its ability to improve membership partition matrix efficiently. Experimental results performed on different medical image multimodalities illustrate that the proposed algorithm can achieve better results, as well as it requires short time for the image segmentation process.
{"title":"An Efficient Segmentation Technique for Different Medical Image Modalities","authors":"A. A. Mahmoud, W. El-shafai, T. Taha, El-Sayed M. El-Rabaie, O. Zahran, A. El-Fishawy, F. El-Samie","doi":"10.21608/mjeer.2020.21471.1001","DOIUrl":"https://doi.org/10.21608/mjeer.2020.21471.1001","url":null,"abstract":"In this paper a study on the segmentation of the medical image is carried out. Image segmentation is the process of splitting an image into a number of non-overlapped segments (sets of pixels, also known as image objects). The success of image analysis process depends on accuracy of segmentation process, but a successful segmentation of an image is generally a difficult problem. During an image preprocessing operation, the input given is an image and its output is an enhanced high-quality image as per the techniques used. This paper provides a solid introduction to image enhancement along with image segmentation technique fundamentals. Firstly, the local spatial information of the image is combined with fuzzy c-mean by introducing morphological reconstruction operation to ensure noise-immunity and image detail-protection. The objective of using morphological operations is to remove the defects in the texture of the image. Secondly, the modification of membership partition depends only on the spatial neighbors of membership partition instead of the distance between pixels within local spatial neighbors and cluster centers. The proposed algorithm is very simple to implement and significantly fast, since it is not necessary to compute the distance between the neighboring pixels and the cluster centers. It is also efficient when dealing with noisy image because of its ability to improve membership partition matrix efficiently. Experimental results performed on different medical image multimodalities illustrate that the proposed algorithm can achieve better results, as well as it requires short time for the image segmentation process.","PeriodicalId":218019,"journal":{"name":"Menoufia Journal of Electronic Engineering Research","volume":"17 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125789723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-06DOI: 10.21608/mjeer.2020.101044
Fatma S. Saeed, A. Elkorany, A. Saleeb, E. M. El-Rabaie
Electromagnetic absorbing materials can be classified into: conventional absorbers, metamaterial absorbers , and reconfigurable absorbers. This paper includes a short survey on these types and there applications. It also includes the design of a thin electromagnetic absorber. The absorber is based on mushroom-like electromagnetic band gap structure with square patches. A simple procedure is developed to design the absorber. The design is checked by simulation using HFSS package. The effect of changing dimensions of the structure on absorption is evaluated. The results of the parametric study were used to trim the design and get more accurate dimensions of the structure.
{"title":"Electromagnetic Absorbing Materials","authors":"Fatma S. Saeed, A. Elkorany, A. Saleeb, E. M. El-Rabaie","doi":"10.21608/mjeer.2020.101044","DOIUrl":"https://doi.org/10.21608/mjeer.2020.101044","url":null,"abstract":"Electromagnetic absorbing materials can be classified into: conventional absorbers, metamaterial absorbers , and reconfigurable absorbers. This paper includes a short survey on these types and there applications. It also includes the design of a thin electromagnetic absorber. The absorber is based on mushroom-like electromagnetic band gap structure with square patches. A simple procedure is developed to design the absorber. The design is checked by simulation using HFSS package. The effect of changing dimensions of the structure on absorption is evaluated. The results of the parametric study were used to trim the design and get more accurate dimensions of the structure.","PeriodicalId":218019,"journal":{"name":"Menoufia Journal of Electronic Engineering Research","volume":"798 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123909341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-06DOI: 10.21608/mjeer.2020.22923.1006
A. Rady, M. Shokair, S. El-Rabaie, Nabil Sabor
—Mobile Wireless Sensor Networks (MWSNs) has significant applications that provide free moving for sensor nodes and flexible communication with each other. MWSNs perform many improvements in energy consumption, network lifetime, and channel capacity than static WSNs. The MWSNs need more sophisticated routing protocols than static WSNs due to the unfixed topology based on nodes mobility. This paperpresents an Improved Mobility based Genetic Algorithm Hierarchical routing Protocol (IMGAHP) to handle the packet delivery ratio problem in MGAHP and maximize the network stability period. The proposed protocol is based on two main points. Firstly, utilizing the optimization process (Genetic Algorithm (GA)) to detect the optimum location of Cluster Heads (CHs) and their numbers. Secondly, reassigning timeslots allocated for sensor nodes which moved out of the cluster or didn’t have data to send, to nodes registered in secondary Time Division Multiple Access (TDMA) schedule or new joined mobile nodes. Several experiments are implemented on the proposed IMGAHP protocol using the Matlab simulation program to appraise and compare it with MGAHP and other previous protocols. It is shown from the results that the proposed IMGAHP gives preferable enhancement in packet delivery ratio, energy efficiency, and network lifetime than all previous protocols.
{"title":"Efficient Clustering based Genetic Algorithm in Mobile Wireless Sensor Networks","authors":"A. Rady, M. Shokair, S. El-Rabaie, Nabil Sabor","doi":"10.21608/mjeer.2020.22923.1006","DOIUrl":"https://doi.org/10.21608/mjeer.2020.22923.1006","url":null,"abstract":"—Mobile Wireless Sensor Networks (MWSNs) has significant applications that provide free moving for sensor nodes and flexible communication with each other. MWSNs perform many improvements in energy consumption, network lifetime, and channel capacity than static WSNs. The MWSNs need more sophisticated routing protocols than static WSNs due to the unfixed topology based on nodes mobility. This paperpresents an Improved Mobility based Genetic Algorithm Hierarchical routing Protocol (IMGAHP) to handle the packet delivery ratio problem in MGAHP and maximize the network stability period. The proposed protocol is based on two main points. Firstly, utilizing the optimization process (Genetic Algorithm (GA)) to detect the optimum location of Cluster Heads (CHs) and their numbers. Secondly, reassigning timeslots allocated for sensor nodes which moved out of the cluster or didn’t have data to send, to nodes registered in secondary Time Division Multiple Access (TDMA) schedule or new joined mobile nodes. Several experiments are implemented on the proposed IMGAHP protocol using the Matlab simulation program to appraise and compare it with MGAHP and other previous protocols. It is shown from the results that the proposed IMGAHP gives preferable enhancement in packet delivery ratio, energy efficiency, and network lifetime than all previous protocols.","PeriodicalId":218019,"journal":{"name":"Menoufia Journal of Electronic Engineering Research","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128084404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-06DOI: 10.21608/mjeer.2020.101041
Hesham M. Abdelzaher, Ibrahim M. Eldokany, S. El-Dolil, O. Oraby, M. Dessouky, A. El-Fishawy, E. M. ElRabaie, F. E. Abd-El-Samie
Gyroscopes are sensors that are used for motion measurement. They are generally used to measure rotation rate of moving equipment. There are different types of gyroscopes including mechanical, micro-electro-mechanical (MEMS) and optical gyroscopes. Gyroscope signal suffers from internal noise due to internal device operation and external noise of the environment. This paper presents a proposed hybrid technique that includes both Kalman filter and wavelet denoising. Results show the superiority of this proposed technique to the other filters. Arranging the filters in cascaded hybrid structure has an effect on the performance of the hybrid technique. Using Kalman filter as a first stage is better than using the wavelet as a first stage. For the comparison, two evaluation metrics are used: Signal-to-Noise Ratio (SNR) improvement and correlation coefficient.
{"title":"An Efficient Hybrid Technique for Noise Reduction in Optical Gyroscope Signals","authors":"Hesham M. Abdelzaher, Ibrahim M. Eldokany, S. El-Dolil, O. Oraby, M. Dessouky, A. El-Fishawy, E. M. ElRabaie, F. E. Abd-El-Samie","doi":"10.21608/mjeer.2020.101041","DOIUrl":"https://doi.org/10.21608/mjeer.2020.101041","url":null,"abstract":"Gyroscopes are sensors that are used for motion measurement. They are generally used to measure rotation rate of moving equipment. There are different types of gyroscopes including mechanical, micro-electro-mechanical (MEMS) and optical gyroscopes. Gyroscope signal suffers from internal noise due to internal device operation and external noise of the environment. This paper presents a proposed hybrid technique that includes both Kalman filter and wavelet denoising. Results show the superiority of this proposed technique to the other filters. Arranging the filters in cascaded hybrid structure has an effect on the performance of the hybrid technique. Using Kalman filter as a first stage is better than using the wavelet as a first stage. For the comparison, two evaluation metrics are used: Signal-to-Noise Ratio (SNR) improvement and correlation coefficient.","PeriodicalId":218019,"journal":{"name":"Menoufia Journal of Electronic Engineering Research","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131906495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-06DOI: 10.21608/mjeer.2020.30085.1020
A. Elsaadany
The spread of the internet applications has affected the vehicle connectivity requirements where connected vehicles can communicate with other systems to exchange data outside the vehicles. The continuous connectivity of smart vehicles is becoming very important for supporting various user applications. The challenges arise from the moving nature of vehicles on the road and the ability of providing a stable network connection due to areas where the network coverage is not available. The use of predictive multi-homed switching can eliminate the effect of network coverage holes. A switching decision can be supported by the intelligence of a connectivity gateway that analyzes network connectivity metrics collected from the vehicles such as round time delay and packet loss rate. In this paper we study the use of predictive multi-homed switching and the associated connectivity gateway in order to evaluate the improvement on the service connectivity of the vehicles. The gateway provides information ahead of time to prepare the vehicle to utilize alternative connectivity methods on different areas along the path of the vehicle. The system’s reaction to the elimination of network coverage holes is assessed where we show the improvement in the continued connectivity key performance indicators.
{"title":"Intelligent Multi-homing Switching for Vehicles Connectivity","authors":"A. Elsaadany","doi":"10.21608/mjeer.2020.30085.1020","DOIUrl":"https://doi.org/10.21608/mjeer.2020.30085.1020","url":null,"abstract":"The spread of the internet applications has affected the vehicle connectivity requirements where connected vehicles can communicate with other systems to exchange data outside the vehicles. The continuous connectivity of smart vehicles is becoming very important for supporting various user applications. The challenges arise from the moving nature of vehicles on the road and the ability of providing a stable network connection due to areas where the network coverage is not available. The use of predictive multi-homed switching can eliminate the effect of network coverage holes. A switching decision can be supported by the intelligence of a connectivity gateway that analyzes network connectivity metrics collected from the vehicles such as round time delay and packet loss rate. In this paper we study the use of predictive multi-homed switching and the associated connectivity gateway in order to evaluate the improvement on the service connectivity of the vehicles. The gateway provides information ahead of time to prepare the vehicle to utilize alternative connectivity methods on different areas along the path of the vehicle. The system’s reaction to the elimination of network coverage holes is assessed where we show the improvement in the continued connectivity key performance indicators.","PeriodicalId":218019,"journal":{"name":"Menoufia Journal of Electronic Engineering Research","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121500816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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